Number of documents

9

Arthur Mensch


Journal articles1 document

Conference papers7 documents

  • Arthur Mensch, Mathieu Blondel, Gabriel Peyré. Geometric Losses for Distributional Learning. Proceedings of the International Conference on Machine Learning, 2019, Long Beach, United States. ⟨hal-02129281⟩
  • Arthur Mensch, Mathieu Blondel. Differentiable Dynamic Programming for Structured Prediction and Attention. 35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. ⟨hal-01809550v2⟩
  • Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux. Learning Neural Representations of Human Cognition across Many fMRI Studies. Neural Information Processing Systems, Dec 2017, Long Beach, United States. ⟨hal-01626823v3⟩
  • Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Compressed Online Dictionary Learning for Fast Resting-State fMRI Decomposition. International Symposium on Biomedical Imaging, IEEE, Apr 2016, Prague, Czech Republic. pp.1282-1285, ⟨10.1109/ISBI.2016.7493501⟩. ⟨hal-01271033v2⟩
  • Arthur Mensch, Julien Mairal, Gaël Varoquaux, Bertrand Thirion. Subsampled online matrix factorization with convergence guarantees. NIPS Workshop on Optimization for Machine Learning, Dec 2016, Barcelone, Spain. ⟨hal-01405058⟩
  • Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Dictionary Learning for Massive Matrix Factorization. International Conference on Machine Learning, Jun 2016, New York, United States. pp.1737-1746. ⟨hal-01308934v2⟩
  • Elvis Dohmatob, Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Learning brain regions via large-scale online structured sparse dictionary-learning. Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain. ⟨hal-01369134v3⟩

Preprints, Working Papers, ...1 document

  • Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Extracting Universal Representations of Cognition across Brain-Imaging Studies. 2018. ⟨hal-01874713v2⟩